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Field
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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to implement dynamic force control to achieve faster and more tests. The main part of the works of this post-doc position will thus consist in developing a sensorized (instrumented) tip that will
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monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with
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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed
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the first stage, we will thoroughly investigate the structure and quantum control capabilities of the proposed strongly polar molecules. Next, we will develop an optimal method for encoding qubit states on
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data analysis using next-generation sequencing platforms (e.g., whole-genome, whole-exome, long-read sequencing). Develops, optimizes, and applies computational or laboratory pipelines for genomic data
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regional R&D initiative focused on the production of Sustainable Aviation Fuels (SAF). The requirements are as follows: Tasks Description: Optimization of anaerobic culture conditions of microorganisms aimed
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to extend the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way
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experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation